Score and xG - Jun 20, 2026 - Group F
Tunisia vs Japan: AI Score Prediction and xG Analysis
AI citation
The model lean for Tunisia vs Japan is Japan win (49%), the most likely score is 1-1, expected total goals are 2.11, and risk is medium; final score 0-4.
Key Takeaway
The model lean for Tunisia vs Japan is Japan win (49%), the most likely score is 1-1, expected total goals are 2.11, and risk is medium; final score 0-4.
Post-Match Review Status
Tunisia vs Japan is completed with final score 0-4. This page keeps the pre-match model read and compares it with the forecast score 1-1.
Tunisia vs Japan score and goal read
The most likely score is 1-1. Tunisia xG is 0.79, Japan xG is 1.32, total 2.11. Over 2.5 sits near 35%, while BTTS is around 40%. These are model distribution reads, not guaranteed outcomes, and are best used to understand match tempo before kickoff.
| Tunisia xG | 0.79 |
|---|---|
| Japan xG | 1.32 |
| Predicted score | 1-1 |
| Over 2.5 goals | 35% |
| BTTS | 40% |
Trust
Data Status and Use Boundary
Sources: schedule.csv, game_predictions.csv, Official FIFA squad list: 48 teams / 1248 players.
Related Links
Continue with related matches, teams and groups
These links connect the match read with team pages, group pages, the compare tool and data sources.
Primary forecast
Tunisia vs Japan: primary prediction
The primary page for this fixture: start with who is more likely to win.
Search angle
Tunisia vs Japan: lineups
Focused on key players, likely XI, bench depth and pending source status.
FAQ
The model currently leans Japan win at 49%, with projected score 1-1 and final score 0-4.
The model score is 1-1, expected total goals are 2.11, Over 2.5 is around 35%, and BTTS is around 40%.
They are not official lottery odds. The page shows public market reference odds when the site cache matches; official Sporttery stays pending, and model fair odds are only probability comparisons.
The most likely score is 1-1, expected goals are 2.11, Over 2.5 is around 35%, and BTTS is around 40%; use it as tempo context, not a fixed result.
The review compares final score 0-4 with predicted score 1-1, model direction, score error, goal error and group impact.